Suchergebnisse - interior linear programming acm reference format*

An Inexact Feasible Interior Point Method for Linear Optimization with High Adaptability to Quantum Computers.

Autoren: Mohammadisiahroudi, Mohammadhossein Fakhimi, Ramin Wu, Zeguan et al.

Quelle: SIAM Journal on Optimization; 2025, Vol. 35 Issue 4, p2203-2233, 31p

Schlagwörter: QUANTUM computing, LINEAR programming, OPTIMIZATION algorithms, NUMERICAL calculations, INTERIOR-point methods, ITERATIVE methods (Mathematics)

cuPDLP.jl: A GPU Implementation of Restarted Primal-Dual Hybrid Gradient for Linear Programming in Julia.

Autoren: Lu, Haihao Yang, Jinwen

Quelle: Operations Research; Nov/Dec2025, Vol. 73 Issue 6, p3440-3452, 13p

Schlagwörter: LINEAR programming, GRAPHICS processing units, PROGRAMMING languages, OPTIMIZATION algorithms, MATHEMATICAL optimization, BENCHMARK problems (Computer science)

An infeasible interior-point arc-search method with Nesterov's restarting strategy for linear programming problems.

Autoren: Iida, Einosuke Yamashita, Makoto

Quelle: Computational Optimization & Applications; Jun2024, Vol. 88 Issue 2, p643-676, 34p

Schlagwörter: INTERIOR-point methods, LINEAR programming

Hessian barrier algorithms for non-convex conic optimization: Hessian barrier algorithms for non-convex conic...: P. Dvurechensky, M. Staudigl.

Autoren: Dvurechensky, Pavel Staudigl, Mathias

Quelle: Mathematical Programming; Jan2025, Vol. 209 Issue 1, p171-229, 59p

Schlagwörter: INTERIOR-point methods, COMPUTATIONAL mathematics, LIPSCHITZ continuity, LINEAR programming, NEWTON-Raphson method

A New Minimax Theorem for Randomized Algorithms.

Autoren: BEN-DAVID, SHALEV BLAIS, ERIC

Quelle: Journal of the ACM; Dec2023, Vol. 70 Issue 6, p1-58, 58p

Schlagwörter: ALGORITHMS, LINEAR programming, QUANTUM communication, BILINEAR forms, CHEBYSHEV approximation, CIRCUIT complexity, QUANTUM computing

People: VON Neumann, John, 1903-1957

Strong Optimal Classification Trees.

Autoren: Aghaei, Sina Gómez, Andrés Vayanos, Phebe

Quelle: Operations Research; Jul/Aug2025, Vol. 73 Issue 4, p2223-2241, 19p

Schlagwörter: DECISION trees, MIXED integer linear programming, MACHINE learning, FAIRNESS, EXCELLENCE, ARTIFICIAL intelligence, MATHEMATICAL optimization

On the effectiveness of sequential linear programming for the pooling problem.

Autoren: Grothey, Andreas McKinnon, Ken

Quelle: Annals of Operations Research; Mar2023, Vol. 322 Issue 2, p691-711, 21p

Schlagwörter: LINEAR programming, INTERIOR-point methods, QUADRATIC programming, TIME management, NONLINEAR programming

Switching preconditioners using a hybrid approach for linear systems arising from interior point methods for linear programming.

Autoren: Bartmeyer, Petra Maria Bocanegra, Silvana Oliveira, Aurelio Ribeiro Leite

Quelle: Numerical Algorithms; Jan2021, Vol. 86 Issue 1, p397-424, 28p

Schlagwörter: LINEAR systems, INTERIOR-point methods, CONJUGATE gradient methods, NUMBER systems, POSITIVE systems, LINEAR programming, EIGENVALUES

An ADMM-based interior-point method for large-scale linear programming.

Autoren: Lin, Tianyi Ma, Shiqian Ye, Yinyu et al.

Quelle: Optimization Methods & Software; Jun2021, Vol. 36 Issue 2/3, p389-424, 36p

Schlagwörter: LINEAR programming, NEWTON-Raphson method, CONJUGATE gradient methods, INTERIOR-point methods, LINEAR systems, LINEAR equations

Surface Movement Method for Linear Programming.

Autoren: Olkhovsky, N. A. Sokolinsky, L. B.

Quelle: Lobachevskii Journal of Mathematics; Oct2024, Vol. 45 Issue 10, p5172-5190, 19p

Ultrafast Hybrid Computing Systems Enabled by Memristor‐Based Quadratic Programming Circuits.

Autoren: Liu, Zerui Cheng, Hsiang‐Chun Hossain, Sushmit et al.

Quelle: Advanced Functional Materials; 11/5/2024, Vol. 34 Issue 45, p1-13, 13p

Schlagwörter: MICRO air vehicles, COMPUTER systems, COMPUTING platforms, LINEAR programming, SUPPORT vector machines

An Adaptive Linear Programming Algorithm with Parameter Learning.

Autoren: Guo, Lin Nellippallil, Anand Balu Smith, Warren F. et al.

Quelle: Algorithms; Feb2024, Vol. 17 Issue 2, p88, 31p

Schlagwörter: MACHINE learning, GOLDEN ratio, DEVIATION (Statistics), ENGINEERING design, STATISTICAL decision making, LINEAR programming

Optimization of Production Scheduling for the Additive Manufacturing of Ship Models Using a Hybrid Method.

Autoren: Kim, Kyeongho Kwon, Soonjo Choi, Minjoo

Quelle: Journal of Marine Science & Engineering; Nov2024, Vol. 12 Issue 11, p1961, 14p

Schlagwörter: SHIP models, LINEAR programming, PRODUCTION scheduling, GENETIC algorithms, HEURISTIC

A subspace‐adaptive weights cubature method with application to the local hyperreduction of parameterized finite element models.

Autoren: Bravo, J. R. Hernández, J. A. Ares de Parga, S. et al.

Quelle: International Journal for Numerical Methods in Engineering; 12/30/2024, Vol. 125 Issue 24, p1-32, 32p

Schlagwörter: SINGULAR value decomposition, LINEAR programming, GAUSSIAN function, FINITE element method, COMPUTATIONAL mechanics

Facility layout planning. An extended literature review.

Autoren: Pérez-Gosende, Pablo Mula, Josefa Díaz-Madroñero, Manuel

Quelle: International Journal of Production Research; Jun2021, Vol. 59 Issue 12, p3777-3816, 40p, 7 Diagrams, 6 Charts, 1 Graph

Schlagwörter: FACILITY management, PLANT layout, PRODUCTION planning, MIXED integer linear programming, SCIENTIFIC literature

Optimize or satisfice in engineering design?

Autoren: Guo, Lin Allen, Janet K. Mistree, Farrokh

Quelle: Research in Engineering Design; Jul2024, Vol. 35 Issue 3, p239-267, 29p

Schlagwörter: ENGINEERING design, OPTIMIZATION algorithms, OPERATIONS research, LINEAR programming, STATISTICAL decision making

Solving the resource constrained project scheduling problem with quantum annealing.

Autoren: Pérez Armas, Luis Fernando Creemers, Stefan Deleplanque, Samuel

Quelle: Scientific Reports; 7/25/2024, Vol. 14 Issue 1, p1-23, 23p

Schlagwörter: QUANTUM annealing, MIXED integer linear programming, QUANTUM computing, MATHEMATICAL optimization, OPERATIONS research, QUANTUM computers

Preprocessing for segment routing optimization.

Autoren: Callebaut, Hugo De Boeck, Jérôme Fortz, Bernard

Quelle: Networks; Dec2023, Vol. 82 Issue 4, p459-478, 20p

Schlagwörter: DYNAMIC programming, LINEAR programming, ROUTING algorithms, INTEGER programming, TELECOMMUNICATION systems

Apex Method: A New Scalable Iterative Method for Linear Programming †.

Autoren: Sokolinsky, Leonid B. Sokolinskaya, Irina M.

Quelle: Mathematics (2227-7390); Apr2023, Vol. 11 Issue 7, p1654, 28p

Schlagwörter: METRIC projections, EUCLIDEAN metric, COMPUTER workstation clusters, PARALLEL algorithms, COMPUTER systems, LINEAR programming, ITERATIVE methods (Mathematics)

The recommender problem with convex hulls.

Autoren: Bougnol, Marie-Laure Dulà, José H.

Quelle: INFOR; May2024, Vol. 62 Issue 2, p259-272, 14p

Schlagwörter: PEARSON correlation (Statistics), COMPUTATIONAL geometry, LINEAR programming, MACHINE learning, CONVEX geometry, POLYHEDRAL functions